Triple
T36596730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Atlético Fénix |
E902821
|
entity |
| Predicate | isFromCityWithClub |
P92435
|
FINISHED |
| Object | Montevideo-based club |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Montevideo-based club | Statement: [Centro Atlético Fénix, isFromCityWithClub, Montevideo-based club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFromCityWithClub Context triple: [Centro Atlético Fénix, isFromCityWithClub, Montevideo-based club]
-
A.
usedByClubFromCity
Indicates that something (such as a facility, stadium, or resource) is utilized by a sports club that is based in a particular city.
-
B.
isLocatedInCityWithClub
Indicates that an entity is situated in a city that has at least one (sports or similar) club based there.
-
C.
homeCityOfClubSupported
Indicates that a particular city is the home city of the sports club that an entity supports.
-
D.
participatingClubsFromCity
chosen
Indicates that the clubs involved in an event or activity originate from or are based in a specified city.
-
E.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.